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Table 2 Results of MPR for the proposed algorithms based on 5 trials of tenfold cross-validation in the benchmark datasets

From: A new chemoinformatics approach with improved strategies for effective predictions of potential drugs

Similarity method DATASET-H DATASET-K DATASET-Y
Strategy 1
 PPMI 0.054 ± 0.010 0.049 ± 0.010 0.020 ± 0.006
 COSINE 0.081 ± 0.019 0.068 ± 0.019 0.037 ± 0.013
 TANIMOTO 0.092 ± 0.026 0.070 ± 0.017 0.035 ± 0.012
Strategy 2
 PPMI 0.061 ± 0.012 0.055 ± 0.014 0.023 ± 0.008
 COSINE 0.066 ± 0.013 0.049 ± 0.010 0.029 ± 0.007
 TANIMOTO 0.066 ± 0.013 0.052 ± 0.011 0.028 ± 0.007
Strategy 3
 PPMI 0.109 ± 0.020 0.077 ± 0.014 0.023 ± 0.007
 COSINE 0.086 ± 0.013 0.051 ± 0.009 0.027 ± 0.006
 TANIMOTO 0.083 ± 0.014 0.055 ± 0.010 0.027 ± 0.004
DT-hybrid
 – 0.083 ± 0.023 0.063 ± 0.016 0.037 ± 0.013